“I very much respect the knowledge that you have. You have a lot of things, just in our few communications, that no one else has mentioned. No one else has even made me think about them.”
Project Takeover & Rescue
Somebody else started it. We finish it.
For distressed, behind-schedule, or broken projects. A lead engineer takes over, audits what you inherited, stabilises the critical path, and gets it to production: no guesswork, no rewrites unless absolutely necessary.
Why choose us for project rescue?
A rescue is a senior engineer reading what you have, writing down what holds and what does not, and getting the paths that matter running before anything else.
Verdict-first, always
Every rescue opens with a written review that maps what you inherited and builds a plain-language risk register, so the work that follows is grounded in what is actually there rather than in assumptions.
A lead engineer takes over
A senior engineer owns the rescue end to end: reading the codebase, making the calls, and being accountable for getting it live.
Stabilise, then harden to production
We stop the bleeding on the critical path first, then rebuild and harden the rest until it holds under real-world load.
Rebuild only what is beyond repair
If the foundation is sound we stabilise and harden it; if a component is beyond repair the review says so and we rebuild only that part, so the product you launch is the one you already have with the broken pieces replaced.
A second senior on every PR
Senior engineers on every project and a second-senior peer review on every pull request, so nothing lands in the codebase on one person's say-so.
Your repository throughout
The work happens in repositories and infrastructure controlled by your organisation wherever practical, so you hold the codebase and the access from the first commit and there is nothing to migrate away from afterwards.
What we build in project rescue
The situations a rescue is built to get out of, each ending in a product that runs.
Stalled builds
A project that stopped short of production carried through to release.
- Risk register turned into an ordered release plan
- Missing pieces built, tests added, environments finished
- First production release, then a steady cadence after
Agency handovers
Code from a previous team read, mapped and owned by a lead engineer.
- Repositories, environments and credentials brought under your control
- Architecture and deployment written down as we go
- Open work re-planned and carried to production
AI-tool-built products past their ceiling
An AI-tool prototype given the structure it needs to keep growing.
- Modules, data model and auth reorganised for growth
- Tests added around the flows customers already use
- Secrets, permissions and input handling made secure
Security-review failures
Findings from a security review or due diligence fixed on the critical path first.
- Findings triaged by exposure and ordered for fixing
- Fixes committed to your repository with evidence
- Controls added so the finding stays closed
Performance crises
Timeouts, slow queries and failing jobs traced to their cause and fixed.
- Profiling under real load to find the bottleneck
- Indexes, caching and query plans reworked where it hurts
- Monitoring left in place so regressions show early
Undocumented codebases
A system nobody can explain given a written review and risk register.
- Architecture, data flows and integrations mapped end to end
- What is safe, fragile and broken written down
- Setup, deployment and runbooks any engineer can follow
Recent products we shipped
Our most recent case studies. Each result is the one its own case study reports, in its own words.
30+ SKUs scanned into one Shopify draft order; the old version choked on large ones.
Draft Deputy
Shopify · Micro-SaaS
1,000+ skincare formulas resolved from a 60-second phone scan in 55+ San Pablo pharmacies, before the customer leaves the store.
2250
A.I · Custom Web App

3.5K students stayed online while a Lovable-built front end was mapped onto the live LMS.
Squid Academy LMS
SaaS · Custom Web App

Non-marketers launch Meta and TikTok campaigns from one plain form, and read both platforms’ results in one view instead of two ad managers.
AI Agent for Meta and TikTok Ads
MVP · SaaS
How we run a project rescue
Three phases: read what you inherited, get the critical path holding, then harden the rest for production.
Rapid audit
A lead engineer maps everything you inherited and builds a risk register: what is safe, what is fragile, and what is actively broken.
Stabilise the critical path
We go straight for the failures that are hurting you most and get the critical path holding steady before anything else.
Rebuild + harden to production
With the bleeding stopped, we rebuild the weak spots and harden the codebase until it runs reliably in production.
- See our full process
What clients say after the build
Real client reviews, every one checkable at source.
Frequently asked questions
Why the audit comes first, whether what you have can be saved, how fast the critical path is stabilised, and what you end up with.
Because we refuse to guess with your money. A short, focused read tells us exactly what you inherited, what is safe, and what is on fire, so the fix that follows is grounded in reality, not assumptions.

